Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Job Description DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. 7+ years of experience in data science roles within AEC, product or technology organizations. At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). Solid understanding of statistical methods, predictive modeling, and optimization techniques. Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. Proven experience designing and interpreting experiments and making statistically sound recommendations. Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. Ability to build relationships with diverse stakeholders and cultivate strong partnerships. Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. Hands-on experience with Generative AI tools and libraries. Background in experimentation infrastructure or human-AI interaction systems. Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

Forge Your Future with Us: At Forge Biologics, we believe in turning bold ideas into life-changing realities. Our mission is simple yet powerful: to enable access to life-changing gene therapies and help bring them from ideas into reality. We partner with scientists, physicians, biotech and pharma innovators, and patient communities - all united by one goal: improving lives. If you're driven by purpose and excited to make a tangible impact, this is where your journey begins. Our team works out of The Hearth, a state-of-the-art, 200,000-square-foot cGMP facility in Columbus, Ohio. Here, you won't just watch innovation happen - you'll be part of it. Whether you're scaling AAV manufacturing, collaborating on cutting-edge therapies, or supporting complex technical projects, you'll play a key role in bringing hope to patients with genetic diseases. What sets Forge apart is our culture of H.O.P.E. We are hardworking, showing up each day with determination and grit. We are open, creating a space where ideas flow freely and every voice is valued. We are purpose-driven, with every task directly tied to changing lives. And we are engaged, energized by the challenges we face and the milestones we achieve together. At Forge, your growth matters. We're committed to helping you expand your skills, take on new challenges, and develop your career through mentorship, hands-on learning, and opportunities for advancement. Our people are our greatest investment, and we're proud to see team members grow with us. If you're ready to use your talent to help deliver hope to patients around the world, join us - and be part of something bigger than yourself. Position Overview The Sr. Associate Data Scientist, PD - Upstream performs data analysis, laboratory documentation, and reporting for AAV Upstream Process Development. This individual compiles experimental data, maintains datasets, and drives technical documentation and process transfer activities. They play a key role in ensuring data quality and supporting innovative process development strategies. What You'll Do: Generate and maintain a centralized AAV Upstream Process Development database. Propose solutions and recommendations based on team feedback. Compile experimental data for reports and responses to data inquiries. Prepare datasets, presentations, and dashboards for AAV Upstream Process Development. Compile data to drive development of innovative process development strategies. Present results and contribute to publications and reports. Support process transfer activities from Process Development to GMP. Review protocols, lab notebooks, and batch records for clarity and consistency; recommend adjustments and improvements. Generate templates for lab notebooks, presentations, and development reports for AAV Upstream Process Development. Identify potential errors or inconsistencies in team data and provide constructive feedback. Bring forward a continuous learning mentality seeking to both align with and improve upon best practices for data analysis in AAV Upstream Process Development. What You'll Bring: Bachelor's degree in Chemical Engineering, Biomedical Engineering, Biology or related discipline (or equivalent experience) OR bachelor's degree in Data Science, Data Analytics, Data Engineering, or related discipline (or equivalent experience) with a minimum of 4 years' experience. Additional qualifications in Data Science, Data Analytics, Data Engineering, or related discipline, such as an associate's degree, certification, or relevant coursework OR additional qualifications in Chemical Engineering, Biomedical Engineering, Biology or related discipline, such as an associate's degree, certification, or relevant coursework. Previous data or Software Engineering role in Biology, Chemistry, or other Life Science Industry. Experience analyzing datasets and utilizing the corresponding data to influence decision making. Working knowledge of cell culture techniques utilizing mammalian, insect, or microbial cells. Experience reviewing experimental data. Prior experience assisting in the training and development of other team members. Experience working with any of the following: Benchling, Excel, JMP, SQL, or Power BI. Preferred Predictive modeling, hybrid modeling, or computational fluid dynamics (CFD) experience is a plus. Experience working with viral vectors (AAV, Lentivirus, etc.). Experience and know-how for biopharmaceutical processing and scale up (both Upstream and Downstream) is preferred. Physical Requirements The position works in a typical office environment where the physical work demands will vary depending on the specific tasks and duties required of the job. The employee will be stationary (standing/sitting) for extended periods of time. Ability to identify small details within the field of vision, distinguish between different colors, and accurately identify objects within a specific area. Forge Biologics is an equal opportunity employer dedicated to building an inclusive and diverse workforce. Forge Biologics, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We've Got You Covered: At Forge Biologics, we believe our people deserve to be taken care of - in and out of the workplace. We've built a comprehensive compensation and benefits package designed to help you thrive, grow, and feel valued every step of the way: Health from day one Health, dental and vision insurance start your first day - with 90% of premiums covered for you and your family. Time to recharge A competitive paid time off plan - because rest fuels innovation. 12 weeks of fully paid parental leave so you can focus on family when it matters most. Rewarding your impact Annual bonus opportunities for all full-time team members. 401(k) with company match to help you plan for the future. Special employee discounts, including childcare and dependent care savings. Your wellness, supported Onsite fitness facility at The Hearth. Mental health counseling and financial planning services through our Employee Assistance Program. Employer-paid short and long-term disability coverage to protect your peace of mind. Fuel for your workday A fully stocked kitchen with free snacks and beverages - we keep you energized and ready for what's next. Grow with us Ongoing professional development resources, training, and mentorship programs to help you build your care and grow within Forge.

Who We Are Stensul dramatically reduces marketing content creation time - by up to 90% - so teams can better focus on improving marketing performance. Stensul makes this possible by streamlining the collaboration process and simplifying marketing asset creation for all marketers so they can create high-performing campaigns that drive stronger results. Stensul integrates with all leading ESPs/MAPs, workflow platforms, image digital asset management platforms, live content, link tracking, and messaging platforms. Top brands that trust Stensul to solve their most demanding marketing creation problems include BlackRock, Cisco, Demandbase, Equifax, Greenhouse, Siemens, and Thomson Reuters. At Stensul, our top priority is maintaining a people-first, diverse, and inclusive culture. We look for people that live by our core values - Garra, Learning Agile, Above & Beyond, and Team Players. We're committed to investing in your growth through mentorship, coaching, and meaningful professional development. If you thrive in a fast-paced environment and are eager to take ownership of a large, revenue-generating area of the business, we want to hear from you! Position Overview We are looking for a Data Analyst to join our growing Data & Insights team. In this role, you will work closely with partners across the organization to enable scalable, data-driven decision making. You will help define and manage key data assets, create dashboards and reporting, develop analytical frameworks, and deliver insights that improve performance and accelerate growth. This is a high-impact role for someone who thrives at the intersection of technical analytics, business strategy, and cross-functional collaboration. What You'll Do Build key dashboards and reporting: Develop and maintain core analytics dashboards in our BI tool (Looker), providing teams across the organization with clear visibility into business, operational, and customer metrics, along with actionable insights. Define and standardize data: Partner with stakeholders to establish consistent metric definitions and tracking, support data quality initiatives, and maintain accurate source-of-truth documentation. Deliver cross-functional insights: Analyze trends in performance, engagement, efficiency, and customer behavior to inform strategic reviews, optimize processes, and guide decision making across teams. Enable data-driven decision making: Create reusable analytical frameworks, support planning and prioritization efforts, and mentor colleagues on data best practices to increase analytics maturity across the company. What You'll Need 3+ years of experience in data analytics or data science roles within SaaS organizations Proficiency in SQL and strong understanding of analytical concepts and data modeling Experience building dashboards and data visualization in BI tools-Looker highly preferred Demonstrated success collaborating with both technical and non-technical stakeholders Excellent communication, organization, and documentation habits Curious, product-oriented mindset with strong ownership and attention to detail Ability to thrive in ambiguous environments Why You'll Love Working Here! Competitive compensation package that includes equity - everyone has a stake in our growth Comprehensive benefits package that includes medical, dental, and vision coverage for you and your dependents, as well as a 401(k), life insurance, commuter benefits and parental leave plans Flexible time off policy, empowering you to balance work & life in the way that suits you best Regular Recharge Days, ensuring that you consistently take time to reset A culture that prioritizes collaboration and transparency, as well as internal mobility and growth! A chance to build the backbone of enterprise marketing creation-connecting the world's most trusted brands to the next generation of AI-driven content workflows Salary information: The estimated base salary for this position is $115,000-$135,000 USD. Additionally, we offer both significant equity and comprehensive benefits. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. Stensul is an Equal Opportunity Employer, meaning that we do not discriminate on the basis of race, religion, national origin, gender identity, sexual orientation, or any other protected class. We are deeply committed to creating an environment that celebrates diversity & in which each employee feels empowered to bring their whole self to work.

Pay Range: Pay Range:$34.15 - $47.93 This position provides analytical support to SEARHC's healthcare operations in various ways including Attesting, monitoring, validating and reporting regulatory reporting requirements to maintain accreditation and funding for SEARHC. Work with a team of data analysts to collect data and create/maintain informative data outputs. Additionally, you will play an integral role in supporting accreditation and operational reporting. SEARHC is a non-profit health consortium which serves the health interests of the residents of Southeast Alaska. We see our employees as our strongest assets. It is our priority to further their development and our organization by aiding in their professional advancement. Working at SEARHC is more than a job, it's a fulfilling career. We offer generous benefits, including retirement, paid time off, paid parental leave, health insurance, dental, and vision benefits, life insurance and long and short-term disability, and more. Key Essential Functions and Accountabilities of the Job Support the preparation and submission of all required, regulatory and quality improvement data reports for various external and internal stakeholders such as CMS, Accrediting entities, the State of Alaska, IHS and HRSA, as well as the senior management team. Attest to the accuracy and completeness of regulatory reports. As directed, conduct analyses of clinical, quality, and service provision data to support operational and strategic needs. Assist with development, maintenance and improvement of quality & performance dashboards. As directed, support the development and implementation of new database and data warehouse tools and functions Other duties as assigned. Education, Certifications, and Licenses Required Bachelor's degree in data analytics, health informatics, health information management, health public health, or related field. Progressively responsible professional work experience may be substituted on a year-for-year basis for college education. Experience Required At least 5 years of experience in regulatory reporting and data analysis. Strong knowledge of regulatory reporting requirements and processes. 5 years of relevant experience; experience working with Excel, SQL, Tableau, and/or R preferred. Knowledge, Skills, and Abilities Intermediate to advanced proficiency in spreadsheet design and database applications. Experience cleaning and filtering data, and identifying, analyzing, and interpreting trends or patterns in complex data sets. Apply knowledge of regulatory requirement to best serve SEARHC. Experience with data analysis using statistical methods. Knowledge of healthcare operations preferred. Excellent analytical and problem-solving skills Strong interpersonal skills. Strong written and verbal communication skills. Required Certifications: If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

At Feed the Children, we recognize the value of outstanding people, and we are looking for compassionate changemakers to join our team. We pride ourselves on cultivating a collaborative workplace where employees experience productive and rewarding employment and feel engaged in our mission to end childhood hunger. Our passionate team shares a deep sense of purpose, and we dream big to solve complex problems and create positive impact in communities around the world. Feed the Children is recognized by Candid with its Platinum Seal of Transparency and is accredited by the BBB Wise Giving Alliance. The organization has received a 4-star rating from Charity Navigator and is consistently recognized on the Forbes Top 100 Charities list. We are currently in search of a Data Architect to join our Information Technology team! The Data Architect is responsible for designing and managing Feed the Children's modern cloud data infrastructure, with ownership of Microsoft Fabric and Azure, and enablement of Purview, Power Platform, Copilot, and Dynamics 365 integration. This role will lead the stand up and evolution of Feed the Children's Fabric platform and serve as its primary Product Owner, ensuring it is scalable, governed, secure, and AI-ready. The Data Architect will also collaborate closely with ERP and CRM teams, and coordinate with Data Governance leadership to align data architecture with Microsoft Purview and governance policies. The ideal candidate combines deep technical expertise with strategic thinking, strong collaboration, and leadership skills. This position will report directly to the Vice President of Business Intelligence. Salary range: $115K-$120K (commensurate with experience) Note: Although our corporate office in located in Oklahoma City, OK qualified candidates are being considered nationwide for this remote opportunity. Job Requirements: Education Bachelor's or Master's degree in Information Technology, Computer Science, Data Science, Information Systems, or a related technical field, preferred. Experience 7+ years' of related professional experience; 3+ years' experience in data architecture or enterprise data engineering; and 2+ years' experience working with Azure data services (e.g., Data Factory, Synapse, Data Lake). Deep understanding of: Microsoft Fabric, Dynamics 365 (especially SCM and CS), Power Platform, Power BI, Dataverse, Purview, SQL, Python, Spark, DAX, ETL/ELT processes, data modeling, Copilot, and Git and CI/CD practices. Familiarity with data retention, auditability, and regulatory compliance (e.g., GDPR, HIPAA, CCPA). Experience with Agile/Scrum methodologies, and Product Ownership. Any combination of education, training and experience which provides the required knowledge, skills and abilities to perform the essential functions of this job may be considered. Bonus Qualifications: Experience working in a mission-driven enterprise, especially in global health and development, with complex supply chain, community impact, donation, and volunteering programs. Licenses and Certifications Credentials in relevant Microsoft technologies a plus. Essential Functions: Data Strategy & Architecture: Define and maintain the enterprise data architecture roadmap, aligning with business goals and future scalability. Design and implement robust architecture in Microsoft Fabric, including lakehouses, warehouses, Notebooks, pipelines, and semantic models. Lead the development of data models, ETL/ELT processes and data lake/warehouse structures to support analytics and AI. Manage all Azure resources, and oversee digital transformation necessary between Azure and Fabric, and from server to cloud architecture. Lead the establishment and documentation of technology direction and standards for data platforms, involving all aspects of information access and retrieval, integration, middleware translators, utilities, tools, and languages for use by information technology groups. Establish and enforce data architecture standards, including modeling conventions, naming standards, and documentation practices. Continuously assess and optimize data architecture to improve quality, performance, scalability, cost management, and efficiency. Data Integration & Interoperability: Ensure seamless integration of data and data flows from various sources, including ERP systems, CRM systems, DHIS2, external datasets and APIs, and other business applications, with the support of data management and governance leads. Data Governance & Management: Following the direction of enterprise data management and governance councils, implement processes and tools to ensure high data quality and consistency across the organization. Align with governance policies established in Microsoft Purview to govern, protect, and manage Feed the Children's data estate, ensuring compliance and risk management. Following the direction of enterprise data management councils, implement Master Data Management policies across data architecture to create a common view of master data and provide a centralized mechanism for its aggregation, cleansing, transformation, augmentation, validation, syndication, and access. Managed File Transfer: Support Managed File Transfer processes, in accordance with security and data governance principles. AI & Copilot Enablement: In collaboration with AI developers and leaders, enable data architecture to support AI agent development and Copilot experiences. Support the integration of AI agents, prompt engineering, and Azure OpenAI services into data workflows. Collaboration: Work across all departments and business leaders to understand data needs and provide tailored, scalable solutions. Collaborate with developers, analysts, and contractors to ensure alignment with architectural standards and business goals. Participate in business intelligence and analytics initiatives, ensuring data solutions meet stakeholder needs. Security: Implement best practices for data protection and privacy, ensuring compliance with regulatory requirements (e.g., GDPR, HIPAA). Collaborate with security and compliance teams to align data practices with enterprise risk policies. Implement role-based access control (RBAC) and encryption. Project Management: Lead and manage architecture-related projects, including timelines, budgets, and resource allocation. Provide architectural oversight throughout project cycles to ensure development of efficient data systems utilizing established standards, procedures and methodologies. Manage projects implemented in collaboration with/by vendors and partners, including managing contractual and project management agreements and compliance. Reporting & Communication: Generate and present reports on data usage, performance, and compliance. Communicate architectural decisions, roadmaps, and standards to technical and non-technical audiences. Establish an environment of high performance and continuous improvement that values learning, a commitment to quality, welcomes and encourages collaboration, and fosters both intra and inter-departmental dialogue and respect. Model the type and level of behavior, professionalism and leadership that is in accordance with the values of the organization. Perform other related duties as required. About Feed the Children: As a leading anti-hunger organization, Feed the Children is committed to ending childhood hunger. We provide children and families in the U.S. and around the world with the food and essentials kids need to grow and thrive. Through our programs and partnerships, we feed children today while helping their families and communities build resilient futures. In addition to food, we distribute household and personal care items across the United States to help parents and caregivers maintain stable, food-secure households. Internationally, we expand access to nutritious meals, safe water, improved hygiene, and training in sustainable living. Responsible stewards of our resources, we are driven to pursue innovative, holistic, and child-focused solutions to the complex challenges of hunger, food insecurity, and poverty. For children everywhere, we believe that having enough to eat is a fundamental right. Our Values: We are driven by a shared sense of PURPOSE. At Feed the Children, our commitment to the mission is at the heart of what we do and fuels our collective impact in the communities where we serve. We cannot achieve our bold vision without our talented PEOPLE . We are passionate about fostering a best-in-class workforce that is engaged, respected, and empowered to deliver results. We believe in CURIOSITY and continued learning. Success requires a culture of discovery, curiosity and continued learning to expand our knowledge, seek new perspectives and challenge the status quo. We know COLLABORATION is the only way to end childhood hunger. We cannot succeed alone. It will take all of us - our employees, donors, partners, volunteers - working together to accomplish our ambitious goals. We DREAM big . When we work together, we collectively reimagine what is possible. We dream big to solve complex problems and create deep impact in communities around the world. We VALUE every donor. We respect our donors' intentions and promote responsible stewardship of the resources they entrust to us. Join Feed the Children and help create a world where no child goes to bed hungry. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Feed the Children is an equal opportunity employer. All qualified candidates will receive consideration for positions without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, political affiliation, pregnancy, military and/or veterans' status, genetic characteristics, marital status or any other considerations made unlawful by applicable state, federal, or local law. Feed the Children welcomes and encourages applications from persons with physical and mental disabilities and will make every effort to reasonably accommodate the needs of those persons. Additionally, Feed the Children strives to provide an environment free from sexual exploitation and abuse and harassment in all places where relief and development programs are implemented. Feed the Children expects its employees to maintain high ethical standards, protect organizational integrity and reputation, and ensure that Feed the Children work is carried out in honest and fair methods, in alignment with the Feed the Children safeguarding and associated policies.

About Clay Our mission is to help organizations turn any growth idea into reality. We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers - including Anthropic, Waste Management, Figma, and Ramp - go to market with unique data, signals, and AI research. In 2025, we crossed $100M in revenue and raised a $100M Series C at a $3.1B valuation, backed by world-class investors including Sequoia, CapitalG, and First Round. We also completed our first first employee tender offer and launched a community equity round, for our customers, agency partners, and club members. Some things to know about us: Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack. Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more. All employees can work for free with world-class coaches who specialize in creativity, management, and more. Our operating principles - including negative maintenance and non-attached action - guide our work. Read more about them here. Read about us in the NYT, Forbes, First Round Review, and more. Hear from our employees directly on our Glassdoor page! Data @ Clay We're looking for a GTM Data Scientist to help make Clay data-driven from the ground up. You'll join a team of experienced data scientists and analytics engineers, while partnering closely with Product and Go-to-Market teams to build foundational data models, dashboards, and analyses that teams rely on every day. This role is ideal for someone early in their data career who wants to learn quickly from senior teammates, take on meaningful ownership from day one, and do that work inside one of the fastest-growing AI startups while digging deeply into data to understand why things are happening, not just what is happening. What you'll do Build and own analytics data models Write clean, maintainable SQL against Snowflake to power core metrics, dashboards, and analytical workflows. Build and iterate on analytics metrics and tables Build and iterate on metrics and tables in dbt, and surface them through dashboards in Sigma to help teams understand product usage, performance, and change over time. Explore data deeply to answer open-ended questions Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to investigate trends, anomalies, and product behavior and connect analyses back to real business questions. Help operationalize data Support reverse ETL workflows using Census, helping make modeled data actionable in the tools teams use day-to-day. Translate questions into insight Partner with cross-functional teams to turn ambiguous questions into clear, useful analytical outputs. What we're looking for Strong SQL fundamentals - comfortable with joins, CTEs, window functions, and clear query structure Experience building analytical data models or metrics tables using dbt or similar analytics-engineering workflows Comfortable working with BI tools like Sigma, Looker, Tableau, Mode, or similar Strong analytical intuition - able to ask the right questions, explore data thoughtfully, and synthesize clear, well-reasoned conclusions Clear communicator who can share insights with technical and non-technical partners Deeply curious about product usage and business performance - motivated to go beyond the what to understand the why, without getting lost in rabbit holes Nice to have Experience with Snowflake or other similar cloud data warehousing tools Comfortable using SQL as the primary analysis tool, with the ability to use Python or R when helpful for deeper or more efficient analysis Familiarity with Hex or other notebook-based analysis tools Familiarity with Census or other reverse ETL tools Prior experience in a product-led or B2B SaaS environment

Job Description DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. 7+ years of experience in data science roles within AEC, product or technology organizations. At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). Solid understanding of statistical methods, predictive modeling, and optimization techniques. Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. Proven experience designing and interpreting experiments and making statistically sound recommendations. Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. Ability to build relationships with diverse stakeholders and cultivate strong partnerships. Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. Hands-on experience with Generative AI tools and libraries. Background in experimentation infrastructure or human-AI interaction systems. Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries. JOB DESCRIPTION As a Data Scientist, you'll join our Data Science team, distributed across Paris, Lyon, Barcelona, and Brussels. The team focuses on implementing, maintaining, and continuously improving our recommender systems. Today, we deliver personalized sales recommendations to millions of users in real time-and we're now scaling to include hundreds of thousands of products. You will design and experiment with algorithms that power personalized recommendations across millions of users. Y ou'll work with large-scale behavioral and product data to build models that increase engagement and conversion, collaborating closely with ML and Data Engineers to move your ideas to production. Responsibilities: Design, train, and evaluate recommender system models using state-of-the-art ML techniques. Conduct in-depth data exploration and feature engineering to extract actionable insights. Perform offline experiments and A/B tests to validate model impact on key business metrics. Collaborate with ML Engineers to ensure smooth model deployment and monitoring. Present findings and new approaches during Data Science Demos. Requirements: Proficiency in Python (Pandas, NumPy, Scikit-Learn, etc.)Proficiency in SQL. Foundational knowledge of Machine Learning. Experience working with Machine Learning libraries (XGBoost, LightGBM, TensorFlow, PyTorch). Solid understanding of statistics, evaluation metrics, and experimentation design. Prior experience with recommender systems or e-commerce is a strong plus. Strong verbal and written English communication. BENEFITS Be part of a dynamic and international team! Flexible schedule Team buildings & afterworks ️ RECRUITMENT PROCESS HR Interview Technical Interview Team ITW All our positions are open to people with health conditions or impairments. We are convinced that it is up to you to define the way you work, to develop yourself and to progress. At Veepee we guarantee that you can just be yourself! For the service of diversity and inclusion, Veepee is committed to reviewing all applications received on an equal basis. COMPANY For more information about our ecosystem : https://careers.veepee.com/en/home-page-en/ ? WHO WE ARE Veepeeᵀᵉᶜʰ is a tech community of 500 collaborators who play a key role in Veepee's innovative strategy. From Warsaw to Sevilla, through Brussels, Amsterdam, Paris, Lyon, Nantes, Nice, Barcelona, Madrid and Lausanne all our projects are developed in an agile environment with a wide skills variety where you'll be sure to find your place, no matter the technology you work with. If you love to try things why don't you jump on this new adventure? Need more info > https://careers.veepee.com/en/ Vente-privee.com processes the collected data to handle the recruitment process, and to evaluate your ability to carry out the job offered and your professional skills. You can learn more about our use of your data and your rights by reading our recruiting privacy policy. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider Craft Education as the next step in your career. Craft Education is on a mission to solve skilled labor shortages by powering work-based learning pathways for all. At Craft, we're revolutionizing the apprenticeship degree, combining on-the-job learning with accredited instruction to create innovative educational pathways that accommodate working professionals and meet employer needs. Our flagship product - Craft Connect - helps organizations administer apprentice degree programs and address mission-critical data and reporting needs. Through the same platform, Craft is also transforming how on-the-job learning converts into academic credits. Our team of technology, education and workforce professionals also provides technical assistance to organizations looking to launch and manage apprenticeship degree programs. We are working tirelessly to accelerate the expansion of these programs along with the data infrastructure that underpins them. If you're looking to join the work-based learning revolution, we'd love to talk with you. At Craft, you'll have the opportunity to solve hard problems in a high-growth startup environment and make a lasting impact on the future of education and workforce development. We couldn't be more excited to advance this work as a team of innovative, collaborative and mission-oriented professionals - we hope you'll consider joining us. The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Grade: Technical 409 Pay Range: $127,700.00 - $191,500.00 Job Description The Staff Data Engineer for Craft Education will lead a team of Data Engineers to produce system architecture, data ingest/egress pipelines in support of customer and business intelligence analytics. You should be agnostic to tools and should be able to supervise, design, architect and code using tools like Apache Kafka, Airflow, or Spark and other cloud technologies. The core responsibility for this position includes supervision of data engineering technical aspects, design of data and system architecture for the Data Lake and data warehouse, supervision of the technical aspects of a data engineering team and projects encompassing dimensional and normalized data modeling. The Staff Data Engineer will improve technical standards in the environment ensuring optimal use of data warehouse and other data stores to solve business problems. They will serve as the lead engineer and go to person for all aspects of the data engineer team including solution architecture of data systems. Essential Functions and Responsibilities: Supervise work on cloud technologies and architect scalable and performant Data Warehouse/Lake systems Establish design and methodology for database build processes. Supervise the architecture and design of complete data model solutions. Supervise necessary data protection and security processes. Create and design extract processes for data access layer. Translate business problems/information requirements accurately to logical/physical data models aligning with customers' data architecture standards. Supervise and perform research and analysis to find solutions for complex business problems. Monitor job performance and fine tune Spark SQL queries as appropriate on a regular basis. Supervise the profiling of data, the publishing of data profiles and corrective actions if required to ensure data quality. Supervise and perform documentation / reverse engineering / analysis of data mapping using data integration code/tools. Work with APIs for data wrangling and integrations with other systems data in the EDW. Perform impact analysis using Data Integration/Data Virtualization tool repositories, DB data dictionary, UNIX scripts and frontend code on versioning systems. Analyze / research data on multiple platforms as wells as multiple heterogeneous databases including custom developed databases. Positively impact projects by completing tasks assigned on time. Communicate technical and domain knowledge as it relates to work, to both technical and non-technical audiences. Ingest and transform structured, semi-structured, and unstructured data from sources including relational databases, NoSQL, external APIs, JSON, XML, delimited files, and more. Support business and functional requirements and translate these requirements into robust, scalable, solutions. Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation. Help continually improve ongoing reporting and analysis processes, automate, or simplify self-service modelling and production support for customers. Performs other related duties as assigned. Knowledge, Skill and Abilities: Solid design skills for creating non-competing processes for data transfer between OLTP and OLAP sources/sinks Expertise with analytical reporting tools, preferably Metabase Mastery in code based ETL/ ELT tools for importing and exporting data across disparate systems. Expertise in analytic skills related to working with unstructured datasets. Use of industry best practices for code development, testing, implementation and documentation. Ability to evaluate and prioritize work based on the organization's needs. Ability to supervise cross team projects to accomplish data integrations and pipelines. Supervisory abilities for data engineering team with respect to technical design and architecture. Excellent verbal & written communication, along with technical documentation Ability to work and deliver in a team environment Ability to manage the use of tools like Jira, Confluence, GitHub Architect and Develop processes for audit of Data Integrity Ability to mentor Associate/Senior/Data Engineer in data pipeline architecture and coding standards Supervise Validation and testing to analyze and debug issues Mastery of AWS cloud technologies and REST APIs Mastery of relational SQL and NoSQL databases Mastery with object-oriented/object function scripting languages: Python, Java, Scala Mastery of big data tools: Hadoop, Spark, Kafka, Databricks, etc. Organizational or Student Impact: Recommends and implements changes in technical/business processes; identifies areas for improvement. Helps lead/coordinate extremely complex technical projects and programs and leads development and implementation of innovative solutions for specialized technical issues. Works proactively; identifies and helps prevent/ solve problems that may cross disciplines. Fully understands and quantifies project risks with impact. Identifies, generates, and implements innovative solutions. Problem Solving & Decision Making: This individual accomplishes goals and objectives independently. Builds and leads teams, influencing decisions and results. Understands and aligns to Agile practices, knowing that Agile is a team level framework that is not rigid, but flexible to support the notion of continuous delivery via iterative planning, design, implementation and operational delivery with quality. Uses discretion to fully scope, design, and implement solutions to complex technical problems. The individual provides regular technical advice and direction to technical teams and management. Models and helps set high standards for effective interactions with internal and external individuals. Communication & Influence: Communicates with parties within and outside of their job function and typically has responsibilities for communicating with parties external to the organization. Works to influence others to accept and understand new concepts, practices, and approaches. Requires ability to communicate with executive leadership regarding matters of significant importance to the organization. This individual may conduct briefings with senior leaders within the technical function. Leadership: Frequently responsible for providing guidance, coaching, and training to other employees across the Company within the area of expertise. Responsible for managing large, complex project initiatives or strategically important solutions to the organization, involving large cross-functional teams. Understands and works, with their team, to demonstrate intention and delivery via metrics. DORA metrics are cultural in nature and we use them to drive high performance teams, empowered by their own ideas on how to adjust to improve measures. May have direct reports but generally fewer than three. Job Qualifications: Minimum Qualifications: M. S. in Business, Management Information Systems, Computer Science, or a related field, or an equivalent combination of experience and training. Six or more years of experience as a Data Engineer, Data Integration, Big Data, or Business Intelligence, Software Engineer Prior experience acting as a Team Lead, where you run the team from a technical perspective, creating ownership and accountability for high performance delivery. You will be a partner with your manager and will be the primary point of contact for team activities/deliveries The individual is acknowledged within the group as a subject matter expert. Typically requires a University Degree or equivalent experience. Preferred Qualifications: Strong experience with early stage companies distance education and distance learning students is preferred. 6 years of prior relevant experience. Physical Requirements: Prolonged periods sitting at a desk and working on a computer. Must be able to lift up to 15 pounds at times. Position & Application Details Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave. How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday. Additional Information Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

Do you want to be part of a business that genuinely values entrepreneurialism, innovation and individual accountability? We focus on our customers and are proud of the difference our technology makes. We partner with some of the biggest manufacturing companies in the world and our technical innovations are used to enhance well-known brands across multiple industries. Title Senior Data Scientist- ML Product Development Department Engineering- Development Location Niwot, TBD Reports To Research Director About Us Established in 1972, Particle Measuring Systems is a global leader for micro-contamination monitoring equipment improving the performance of clean manufactures in the semiconductor and pharmaceutical industries. We're a growing technology company in Niwot, Colorado, the heart of the Rocky Mountains. We offer an exceptional and rewarding work environment in a great place to live. Our employees enjoy challenging projects in the development and manufacture of light scattering particle counters and diverse technologies and applications. Your Impact We're looking for a Data Scientist who is passionate about building machine learning (ML) solutions that directly power and enhance our products. You'll collaborate closely with product managers, engineers, and designers to design, train, and deploy ML models that create meaningful user experiences, drive personalization, and improve decision-making at scale. With your experience of telemetry/sensor sourced data, time-series analytics and embedded model deployment you'll advance the most sensitive instrumentation by applying data science to the physical world. The Role This role sits at the intersection of data science, software engineering, and product innovation - perfect for someone who loves seeing their models come to life in real-world applications. You'll have the opportunity to see your ML work directly shape user experiences and business outcomes in a collaborative, data-driven culture that values innovation and continuous learning. Job Responsibilities Design, develop, and deploy machine learning models and algorithms that solve core product challenges (e.g., recommendations, predictions, personalization, automation) with real-time instrumentation. Analyze and interpret large datasets generated by software systems, identifying patterns, anomalies, and behavioral trends. Design, train, and validate Machine Learning models for prediction, classification, clustering, and anomaly detection Collaborate with cross-functional teams (engineering, product, design) to integrate ML models into production systems. Prototype and experiment with new model architectures and data sources to continuously improve product performance. Monitor and evaluate model performance in production, ensuring robustness, fairness, and scalability. Communicate insights and model results clearly to both technical and non-technical audiences. Contribute to data infrastructure and pipelines that support model training, testing, and deployment. Stay current on advances in machine learning, AI, and data engineering - and help bring new ideas into production. Excellent communication skills; translating data and communicating it to internal experts, making critical decisions in collaboration with other disciplines. Required Qualifications Master's or PhD in Computer Science, Data Science, Statistics, Applied Mathematics, or related field (or equivalent experience). 3+ years of experience building and deploying ML models in production environments, with 5-8+ years of relevant experience. Must have hands-on experience integrating AI models with sensor data, control logic, and signal processing pipelines to improve the accuracy, performance, and predictive capabilities of physical hardware systems. Strong proficiency in Python and popular ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost). Hands-on experience of data preprocessing, feature engineering, and model evaluation. Solid knowledge of statistics, predictive modeling, and experimental methods Experience working with cloud-based ML platforms (AWS Sagemaker, GCP Vertex AI, or Azure ML) and containerization (Docker or similar) Familiarity with software engineering best practices (version control, testing, CI/CD) Preferred Qualifications 10+ years experience in production level firmware or software engineering for real-time systems, or equivalent product development experience Experience developing ML-powered product features (e.g. Predictive maintenance, personalization, recommendations). Knowledge of A/B testing, experimentation frameworks, and data-driven product iteration. Understanding of MLOps principles and tools for scalable model deployment and monitoring. Excellent communication and collaboration skills; ability to translate complex models into actionable insights. Work Environment & Physical Requirements This role primarily operates in an office/lab/manufacturing environment. Must be able to sit, stand, and use a computer for extended periods of time Occasional lifting of up to 20 lbs. independently may be required This role involves occasional working in laboratory environments that include exposure to X-rays, radiation, and biological materials. All work is performed following established safety protocols and regulatory guidelines Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this role Compensation & Benefits Competitive base salary range: $150000 - 170000 Our compensation philosophy: we offer competitive pay based on market data, including local, national, and industry benchmarks. For new hires, offers are generally within the established min- to mid-point of the range for the role, with flexibility to recognize experience, skills, and education. Our approach ensures fair pay internally while remaining competitive externally and allows room for growth. Comprehensive benefits package: Health coverage: medical, dental, vision, fsa, onsite clinic (CO employees), life insurance 401(k) retirement plan with company match Vacation, holiday, and leave policies Tuition reimbursement, Employee recognition programs, Employee assistance programs Particle Measuring Systems is proud to be an Equal Opportunity Employer and are committed to building an inclusive and supportive workplace where everyone can thrive.

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $103500 to $188888 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

Title: Big Data Systems Engineer (Remote) Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security. KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center's (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs. Responsibilities: The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs. As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments. This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise. You will deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity. Work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs Deploy CHEETAS within customer environments Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity Work Environment: Location: Remote- The candidate can either work in one of KBR's facilities or work from home, with a stable internet connection. Travel Requirements: This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii). Working Hours: Standard Basic Qualifications/Knowledge: Must have an active TS/SCI Security Clearance to be considered for this position. This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position. Previous experience must include three (3) years of hands-on experience in the integration with and configuration of: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.) Previous experience must include five (5) years of hands-on experience in big data environments. Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment. Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems. Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure. Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert. Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience. Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this position. Experience with installation, configuration, integration with and usage of the following tools and technologies: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat). Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites. Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required. Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required. Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development. Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members. Excellent testing, debugging and problem-solving skills are required to be successful in this position. Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions. Ability to speak and present findings in front of large groups. Ability to document and repeat procedures. This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States. Preferred Qualifications: Experience working in government/defense labs and their computing restrictions. Experience working with major DoD acquisition programs. Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training. Experience with working in distributed team environment. Ability to teach and mentor engineers with a variety of skill levels and backgrounds. Knowledge of DoD cybersecurity policies. Basic Compensation: $142,400 - $180,000 (For the Denver, CO Area only) $148,900 - $200,000 (For the Los Angeles, CA Area Only) $148,900 - $200,00 (For the Washington, DC Area Only) The offered rate will be based on the selected candidate's working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity. Additional Compensation: KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance. Ready to Make a Difference? If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together. Come join the ITEA award winning TRMC BDKM team and be a part of the team responsible for revolutionizing how data analysis is performed across the entire Department of Defense! Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver- Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Job Description: Building trusted markets - powered by our people. At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world. We're building inclusive ways to support professional and personal development while strengthening the trust we've earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to "go for it" and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities. Cboe is seeking a Senior Counsel to provide legal support to all levels of the organization on legal, regulatory, and reputational aspects of cybersecurity, data protection and privacy, artificial intelligence, and intellectual property, including current and emerging legal and regulatory requirements and trends, compliance initiatives, and cyber and data-related investigations. As an operator of exchanges and other trading venues, Cboe operates in a highly regulated environment and compliance by Cboe with its legal and regulatory obligations is paramount in the conduct of its business. This position will also support Cboe's Compliance group on oversight of other emerging compliance risks, such as sanctions and trade controls, AML and FCPA compliance, as well as other regulatory frameworks applicable to global exchange operators. In fulfilling these duties, this position will also collaborate with and manage outside counsel and other experts as necessary. Further, depending on the division's needs and the individual's interests, the position may also provide the opportunity to gain experience in other legal areas relating to Cboe's diverse businesses. This position is in Chicago, Illinois. Duties and Responsibilities: Perform a combination of the following functions. Particular day-to-day functions may vary among certain of the following functions depending upon priorities at that time. Work collaboratively across the organization to provide legal support for the cybersecurity, data protection, and artificial intelligence programs (including legal support for regulatory and audit functions, as needed), and establish appropriate relationships with responsible members of relevant departments, such as Risk, Information Security, Marketing and Communications (MarComms) and Compliance, to ensure coordinated and appropriate responses to incidents, issues, and opportunities related to cybersecurity, data protection, and artificial intelligence. Consult with senior leadership and Cboe's Boards of Directors and responsible Committees regarding cybersecurity preparedness and strategy. Lead or support legal involvement in incident response for a broad range of circumstances including fraud, insider risk, data breach, availability attacks and other computer security events, etc. Align and manage processes to preserve privilege. Assist with management of outside counsel and other relevant professionals and collaborate with them and Cboe management and associates regarding various cyber and data protection efforts, including compliance with current and emerging legal and regulatory requirements and best practices; risk assessment and management; conducting tabletop exercises with management, Boards and Committees, and other internal departments; preparation for and management of incident response; and compliance with regulatory reporting requirements. Collaborate with Cboe's Risk group, including Cboe's Chief Information Security Officer, on threat investigations and programs, including participation in Cboe's enterprise risk management program and insider threat group. Maintain fluency with domestic and international cybersecurity, privacy and data protection laws and regulations impacting Cboe as a financial institution. As needed, provide business and risk partners strategic legal counsel that not only meets current requirements, but anticipates changes (to law and/or technology) to better maintain business flexibility and efficiency. Provide legal support to Cboe's incident response program, including with respect to investigating potential incidents, identifying applicable legal obligations, and managing the company's notification of and response communications to confirmed data security incidents working in collaboration with Cboe's Risk, Information Security and MarComms departments. Provide counsel on company responses to regulatory inquiries and litigation concerning technology, cybersecurity, and data privacy matters. Provide counsel on the intellectual property efforts of Cboe, including patent, copyright, and trademark matters. Provide legal support in respect of other areas of emerging risk, such as sanctions and trade controls, anti-money laundering rules and regulations, compliance with the Foreign Corrupt Practices Act, and other similar areas requiring coordinated and company-wide compliance programs. Assist with various legal projects across the Legal Division and perform other duties as assigned. Experience: Minimum of 5 years of experience as a practicing attorney, including a minimum of 3 years with a focus on cybersecurity, data protection, privacy and/or other technology and compliance-related risks. Experience with intellectual property, particularly patents, and previous employment with highly regulated institutions, including financial institutions, are desirable. Knowledge, Skills and Abilities: Ability to effectively communicate both orally and in writing and to effectively interact with internal and external contacts. A working knowledge of incident response frameworks and handling procedures, US privacy and cybersecurity laws. Knowledge of intellectual property law related to patents, copyrights, trademarks, and trade secrets is a plus. Ability to create and execute detailed project plans and effectively collaborate with stakeholders. Prior employment in financial services, experience with regulatory investigations and/or government enforcement actions, familiarity with international privacy and data protection laws, and one or more of the following certifications is a plus: Certified Information Security Manager (CISM), Certified Information Systems Security Professional (CISSP), Certified Information Privacy Professional (CIPP), or other relevant certifications offered by the International Association of Privacy Professionals. Strong attention to detail and the ability to articulate complex concepts with the level of detail that is necessary for various regulatory and other written communications. Ability to work both independently and cooperatively in group situations; offer assistance and support to co-workers; balance team and individual responsibilities; exhibit objectivity and openness to others' views; give and welcome feedback. Proven analytical and problem-solving skills. Ability to organize and prioritize work assignments; strong time management experience and skills; and ability to complete multiple tasks simultaneously with accuracy and quality, to adjust to changes in priorities and situations, and to meet deadlines. Member in good standing of at least one state bar association. Education/License(s): Bachelor's Degree and Juris Doctorate. Licensed to practice law. Computer proficiency in Microsoft Office Suite applications including Word, PowerPoint, Excel, and Outlook, as well as document management and other office technologies. We value the total wellbeing of our people - including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer: Fair and competitive salary and incentive compensation packages with an upside for overachievement Generous paid time off, including vacation, personal days, sick days and annual community service days Health, dental and vision benefits, including access to telemedicine and mental health services 2:1 401(k) match, up to 8% match immediately upon hire Discounted Employee Stock Purchase Plan Tax Savings Accounts for health, dependent and transportation Employee referral bonus program Volunteer opportunities to help you give back to your communities Some of our associates' favorite benefits and perks include: Complimentary lunch, snacks and coffee in any Cboe office Paid Tuition assistance and education opportunities Generous charitable giving company match Paid parental leave and fertility benefits On-site gyms and discounts to other fitness centers More About Cboe Global Markets We're reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We're investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We're an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on our website and LinkedIn. Equal Employment Opportunity We're proud to be an equal opportunity employer - and celebrate our associates' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status #LI-CP1 This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future. Our pay ranges are determined by a number of factors, including, but not limited to, role, experience, level, and location. The national new hire base pay range for this job in the United States is $157,250-$194,250. This range represents the minimum and maximum base pay the company expects to offer for new hires working in the position full time. If you live in one of the following areas or if you work in a Cboe office in the following areas, the range may be higher according to the geographic differentials listed below: US Geographic Differentials: 110%: Austin TX, Chicago IL, Denver CO, San Diego CA 115%: Los Angeles CA, Seattle WA 120%: Boston MA, Washington DC 125%: New York City NY 130%: San Francisco CA Within the range, individual pay is determined by a number of factors, including, but not limited to, work location, job-related skills, experience, and relevant education or training. In addition to base pay, our total rewards program includes an annual variable pay program and benefits including healthcare (medical, dental and vision), 401 (k) with a generous company match, life and disability insurance, paid time off, market-leading tuition assistance, and much more! Your recruiter will provide more details about the total compensation package, including variable pay and benefits, during the hiring process. For further information on our total rewards program, visit TOTAL REWARDS @CBOE. Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.

Job Description Senior Data Engineer Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Data Engineer to join our growing data engineering team. You'll work in a collaborative Agile environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle. You will craft and develop curated data products, applying standard architectural & data modeling practices to maintain the foundation data layer serving as a single source of truth across Zendesk . You will be primarily developing Data Warehouse Solutions in BigQuery/Snowflake using technologies such as dbt, Airflow, Terraform. What you get to do every single day: Collaborate with team members and business partners to collect business requirements, define successful analytics outcomes and design data models Serve as Data Model subject matter expert and data model spokesperson, demonstrated by the ability to address questions quickly and accurately Implement Enterprise Data Warehouse by transforming raw data into schemas and data models for various business domains using SQL & dbt Design, build, and maintain ELT pipelines in Enterprise Data Warehouse to ensure reliable business reporting using Airflow, Fivetran & dbt Optimize data warehousing processes by refining naming conventions, enhancing data modeling, and implementing best practices for data quality testing Build analytics solutions that provide practical insights into customer 360, finance, product, sales and other key business domains Build and Promote best engineering practices in areas of version control system, CI/CD, code review, pair programming Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery Work with data and analytics experts to strive for greater functionality in our data systems What you bring to the role: Basic Qualifications 5+ years of data engineering experience building, working & maintaining data pipelines & ETL processes on big data environments 5+ years of experience in Data Modeling and Data Architecture in a production environment 5+ years in writing complex SQL queries 5+ years of experience with Cloud columnar databases (We use Snowflake) 2+ years of production experience working with dbt and designing and implementing Data Warehouse solutions Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams. Intermediate experience with any of the programming language: Python, Go, Java, Scala, we primarily use Python Integration with 3rd party API SaaS applications like Salesforce, Zuora, etc Ensure data integrity and accuracy by conducting regular data audits, identifying and resolving data quality issues, and implementing data governance best practices. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Preferred Qualifications Hands-on experience with Snowflake data platform, including administration, SQL scripting, and query performance tuning Good Knowledge in modern as well as classic Data Modeling - Kimball, Innmon, etc Demonstrated experience in one or many business domains (Finance, Sales, Marketing) 3+ completed "production-grade" projects with dbt Expert knowledge in python What does our data stack looks like: ELT (Snowflake, Fivetran, dbt, Airflow, Kafka, HighTouch) BI (Tableau, Looker) Infrastructure (GCP, AWS, Kubernetes, Terraform, Github Actions) The US annualized base salary range for this position is $151,000.00-$227,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives. Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week. As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance Required: None What You Will Do: Lead the development and implementation of a data migration strategy as it relates to a statewide modernization initiative. Oversee a diverse team of practitioners to execute the data migration strategy -- from data assessment; ETL/data cleansing and transformation; data conversion; data migration; and QA/testing. Identify opportunities to leverage cutting edge automation/AI enabled capabilities to streamline and support data migration activities. Provide hands-on support across the data migration -- e.g., this is not a singularly strategy focused role. You will be expected to build the strategy, as well as hands-on support future data integrations. Serve in a collaborative environment where Data Migration is one key workstream, working alongside multiple other workstreams such as OCM; BI and Artificial Intelligence; Platforms; etc. What You Will Need: Bachelor's degree is required Minimum TEN (10) years of hands-on experience developing AND implementing data migration strategies/initiatives with a track record of successful project delivery and team leadership. Minimum TEN (10) years of hands-on experience across the data migration lifecycle --- assessment; ETL/cleansing; data conversion; data migration; and quality assurance Consulting experience in State Government or Federal Government. Must have hands-on (recent) experience with technologies such as SQL Server, Python, and R. Must have significant experience adapting to a variety of systems and technology platforms across an enterprise. Excellent communication skills with proven expertise leading teams across all size ranges (e.g., teams of two, teams of 30). Must be available to travel up between 20-25% What Would Be Nice To Have: Master's degree Demonstrated experience supporting the business development lifecycle (capture through proposal submission). Demonstrated experience embedding AI into the data migration lifecycle to gain efficiencies. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics team you will develop and implement innovative IBM MDM solutions that drive data management initiatives. As a Senior Associate, you will leverage your knowledge in master data management and data quality frameworks to mentor junior team members and build meaningful client relationships while navigating complex challenges. Responsibilities Maintain adherence to data quality frameworks and industry standards Work with cross-functional teams to drive data initiatives Navigate and manage ambiguity in project requirements Provide insights and recommendations based on data analysis What You Must Have Bachelor's Degree 3 years of experience What Sets You Apart Master's Degree in Computer Science preferred Certifications in IBM MDM, AWS Certified Data Analytics, Azure Data Engineer Associate, Teradata, SQL databases, and DevOps tools preferred Demonstrating leadership in developing IBM MDM solutions Working with cross-functional teams for technical solutions Implementing data quality and governance policies Troubleshooting MDM implementation and data quality issues Utilizing and being proficient ETL tools for data management processes Integrating MDM solutions with cloud platforms Participating in code reviews for compliance Expertise in IBM MDM development and implementation Strong understanding of master data management and data quality frameworks Experience with cloud platforms such as AWS or Azure Strong SQL skills for database management and data manipulation Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

POSITION SUMMARY: The Medical Laboratory Scientist, Data Reviewer is a member of the Operations Department to review and analyze clinical test results. This individual collaborates with a team of CLS and laboratory personnel to maintain accurate records of test results and patient information, and perform any troubleshooting as needed. PRIMARY RESPONSIBILITIES: Review clinical test results of molecular genetic testing received from laboratories for accuracy and translate into LIMS. Review and analyze raw data files in proper software and resolve routine issues. Verify the proper specimen analyzed for patients and reviews the test requisition forms to verify the correct tests were performed. Work within several laboratory information systems to review patient demographics and make corrections as needed. Responsible for understanding most current applicable standard operating procedures. Ensures compliance with all regulatory agency requirements through documentation, audits, and corrective action and follows GLP (good laboratory practice). Given detailed instruction, can complete additional tasks assigned by lead, supervisor, or manager in a timely manner. Comply with all company and department policies and procedures. This role works with PHI on a regular basis both in paper and electronic form and have an access to various technologies to access PHI (paper and electronic) in order to perform the job • Employee must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance training and security training as soon as possible but not later than the first 30 days of hire. Must maintain a current status on Natera training requirements. Performs other duties as assigned. QUALIFICATIONS: 1-2 years of experience as a Medical Technologist or equivalent in a clinical laboratory environment. BS/BA degree in Medical Technology, Biological Sciences, or a related field Current MT/MLS/CLS/MB certification preferable from ASCP, AMT, or AAB. KNOWLEDGE, SKILLS, AND ABILITIES: Excellent interpersonal, communication, computer, and troubleshooting skills. Experience in Molecular Biology preferred. Excellent oral and written communication skills. Word processing and data management skills. Ability to work well in a group Ability to work independently, with minimal supervision PHYSICAL DEMANDS & WORK ENVIRONMENT: This position requires the ability to use a computer keyboard, communicate over the telephone and read printed material. Duties may require working outside normal working hours (evenings and weekends) at times. Duties typically performed in office setting. Standing or sitting for long periods of time may be necessary. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Austin, TX $26-$28 USD OUR OPPORTUNITY Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: BBB announcement on job scams FBI Cyber Crime resource page

Job Req ID: 27963 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro seeks a Staff Data Center Construction Manager to direct large-scale data center projects from conception to commissioning. The role manages construction schedules, budgets, and vendors, ensuring timely and quality delivery, and coordinates among teams and contractors to meet technical and business objectives efficiently and safely. The ideal candidate should have extensive experience in complex data center construction, strong knowledge of mission-critical MEP and structural systems, and proactive risk management skills. Excellent communication, effective contractor leadership, and a focus on fast, large-scale project delivery are essential. Essential Duties and Responsibilities: Essential Duties and Responsibilities: Manage all stages of data center construction, from planning to turnover. Create and update project schedules using critical path methods with input from all stakeholders. Set and monitor budgets, track expenses, and prepare financial reports. Supervise contractors to ensure safe, timely, and compliant work. Act as the main on-site contact, coordinating communication between teams. Review and approve contractor documents and payments. Run weekly meetings, identify risks, and develop risk mitigation plans. Collaborate with design and engineering to ensure constructability and field alignment. Oversee vendors and suppliers for contracts, logistics, and procurement. Ensure compliance with building codes, permits, and regulations. Work with commissioning teams for smooth construction handover and IST. Keep accurate project records and progress tracking. Capture lessons learned to improve future builds. Provide executive-level updates on schedule, budget, and major issues at project sites. Additional Responsibilities: Coordinate with global teams to unify project delivery methods. Assist in preparing bid documents and contractor criteria for upcoming projects. Help develop scalable design and modular construction standards. Liaise with stakeholders to fast-track permits and approvals. Oversee site inspections and quality control for compliance. Guide engineers and assistant managers on major builds. Qualifications: Qualifications Required: Bachelor's in Construction Management, Engineering, or related field, or equivalent experience. 12+ years managing large construction projects, including 5+ in data centers or mission-critical facilities. Proven success leading contractors and suppliers to deliver safe, timely, and on-budget results. Strong knowledge of base building and MEP systems (electrical, cooling, fire protection, controls, structure). Skilled in scheduling with Primavera P6, Procore, or Microsoft Project. Advanced budget management and cost forecasting; experienced in change order negotiations. Familiar with commissioning, IST, and operational turnover for critical systems. Excellent communication, negotiation, and stakeholder management. Able to manage multiple projects in fast-paced settings. Strong problem-solving and analytical abilities; proactive with risk and issue resolution. Willingness to travel up to 25% domestically and internationally. Preferred Qualifications: Master's in Engineering, Construction Management, or Business. Experience with hyperscale, colocation, or modular data centers. Knowledge of international codes, permitting, and environmental compliance. Familiarity with Procore, Bluebeam, or Autodesk ACC software. Background in lean principles, design-build, or modular projects. Managed cross-functional teams in complex organizations. Leadership in project execution with technical, cost, and schedule balance. Salary Range $185,000 - $211,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. EEO Statement Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status. Job Segment: Cloud, Embedded, Data Center, Engineer, Electrical, Technology, Engineering

Bring more to life. At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact - innovating at the speed of life. Our 63,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology. Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we're committed to hiring and developing from within. You'll thrive in a culture of belonging where you and your unique viewpoint matter. Learn about the Danaher Business System which makes everything possible. The Senior Director of Artificial Intelligence & Data Infrastructure will help shape the vision and lead the execution of our next-generation data and AI infrastructure - driving innovation across all of Danaher. In this strategic role, you will lead a world-class team to design and deliver a robust, scalable, high-performance platform that will accelerate enterprise-wide AI-driven research and product development. Your leadership will enable cutting-edge solutions that transform how we innovate and create value for customers globally. This role sits within the Chief Technology and AI Office (CTAIO) and reports to the VP, AI Platform and is fully remote within the United States. In this role, you will have the opportunity to: Define and execute the strategic roadmap for Danaher's enterprise-wide Data & AI Platform, aligning with business objectives and growth initiatives Design and deliver an AI platform that accelerates research, new product development, and enhances existing products and processes; enforces best practices for data governance, quality, security, and compliance by design; and drives adoption of advanced AI/ML methodologies and data analytics through a self-service sandbox for data scientists and engineers across the organization Stay ahead of the curve by evaluating and integrating cutting-edge technologies to maintain a state-of-the-art AI platform that gives Danaher a competitive edge Build and mentor a high-performing team of Cloud, ML/AI, and Data architects, engineers, and scientists Foster a culture of technical rigor, continuous learning, collaboration, and innovation within the team and across Danaher's technology community Develop strategic partnerships with key vendors and partners to leverage external expertise and solutions for internal tooling The essential requirements of the job include: An advanced degree in Computer Science, Machine Learning or a related technical field 10+ years of experience in software development with a focus on data engineering, AI/ML and software architecture and design 5+ years in a leadership role focused on data and AI platforms Extensive experience with cloud platforms (AWS, Azure, GCP), integrators (Snowflake, Databricks, etc.) and their data and AI services Strong leadership experience with a proven ability to build consensus, lead, and inspire cross-functional teams in a complex environment Excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel domestically and internationally per business needs - up to 20% It would be a plus if you also possess previous experience in: Life sciences, diagnostics, or biotechnology (e.g., partnering with R&D, quality, clinical, manufacturing, or commercial teams) Data and engineering practices in industries governed by regulatory standards (e.g., HIPAA, GxP), compliance frameworks (e.g., SOX), and rigorous data governance requirements Working in a matrixed environment #LI-KW4 Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info. At Danaher, we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide. The annual salary range for this role is $220,000 - $250,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.